The predictive role of hair cortisol concentrations for treatment outcome in PTSD inpatients

Abstract

Psychological treatments of posttraumatic stress disorder (PTSD) are associated with non-response rates of up to 50%. This fact highlights the need to identify characteristics of poorer treatment outcome. Among others, previous evidence focused on the role of dysfunctional cortisol secretion which has been related to the development, maintenance and treatment of PTSD. Particularly, promising evidence stems from research using hair cortisol analysis which allows for a reliable assessment of cortisol secretion over several months. Another variable that has been linked to both HCC and non-response to treatment is childhood maltreatment (CM). In order to examine the predictive value of pre-treatment hair cortisol concentrations (HCC), treatment-related changes in HCC as well as CM for changes in PTSD symptomatology, we set up a prospective study in which we followed 52 female PTSD patients over the course of a trauma-focused inpatient treatment. Specifically, 3-month integrated HCC were assessed at treatment entry, at discharge and on average five months later accompanied by assessments of PTSD, overall and depressive symptomatology. CM was measured at treatment entry. Self-report indices improved following inpatient treatment. No evidence for pre-treatment HCC to be associated with changes in PTSD symptoms was revealed. However, attenuated pre-treatment HCC predicted less improvement in overall symptomatology from treatment entry to discharge. This effect lost significance after adjusting for baseline dissociative symptoms. Neither changes in HCC nor CM were predictive of treatment response. Pre-treatment cross-sectional analyses revealed no association between HCC and CM. The current hair cortisol data provided little evidence for a predictive role of lower long-term integrated cortisol secretion for poorer inpatient treatment outcome. If corroborated by further research in larger PTSD samples with much more methodological rigor, these data might be a valuable basis for future tailored research projects.